会议文章
2024
Graph Bottlenecked Social Recommendation
Yonghui Yang, Le Wu*, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 3853 – 3862, 2024
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Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang, Kun Zhang*, Le Wu, Mi Tian, Richang Hong, Meng Wang
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 4143 – 4154, 2024
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Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang*, Meng Wang*
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 187 – 198, 2024
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Double Correction Framework for Denoising Recommendation
Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu*, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang*
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), 1062 – 1072, 2024
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Multimodality Invariant Learning for Multimedia-based New Item Recommendation
Haoyue Bai, Le Wu*, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong and Meng Wang
The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), accepted, 2024
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Learning Fair Representations for Recommendation via Information Bottleneck Principle
Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu*
The 33rd International Joint Conference on Artificial Intelligence(IJCAI), accepted, 2024
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Boosting Multimedia Recommendation via Separate Generic and Unique Awareness
Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu
arXiv preprint arXiv:2406.08270(arXiv), 2024
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Adaptive Cognitive Diagnosis Under Distribution Shift with a Double-Level Adversarial Framework
Yuhong Zhang, Chenyang Si
2024 9th International Conference on Big Data Analytics(ICBDA), 168-173, 2024
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2023
Disentangling Cognitive Diagnosis with Limited Exercise Labels
Xiangzhi Chen, Le Wu*, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang
The 37th Conference on Neural Information Processing Systems(NeurIPS), 18028-18045, 2023
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GoRec: A Generative Cold-Start Recommendation Framework
Haoyue Bai, Min Hou*, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
The 31th ACM International Conference on Multimedia(ACM MM), 1004-1012, 2023
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Meta Multi-Agent Exercise Recommendation: A Game Application Perspective
Fei Liu, Xuegang Hu*, Shuochen Liu, Chenyang Bu, Le Wu*
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 1441-1452, 2023
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Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation
Shuai Jie, Le Wu*, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 1188–1197, 2023
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Generative-Contrastive Graph Learning for Recommendation
Yonghui Yang, Zhengwei Wu, Le Wu*, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 1117–1126, 2023
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Improving Recommendation Fairness via Data Augmentation
Lei Chen, Le Wu*, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
The Web Conference(WWW), 1012-1020, 2023
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Fair Representation Learning for Recommendation: A Mutual Information Perspective
Chen Zhao, Le Wu*,Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang
The 37th AAAI Conference on Artificial Intelligence(AAAI), 4911-4919, 2023
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FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
Zheng Zhang, Qi Liu*, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
The 37th Conference on Neural Information Processing Systems (NeurIPS), 36:41432–41450, 2023
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Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation
Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou*, Guannan Zhang
The 32nd ACM International Conference on Information and Knowledge Management(CIKM), 2482-2491, 2023
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RecStudio: Towards a Highly-Modularized Recommender System
Defu Lian*, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 2890-2900, 2023
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2022
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Minghao Zhao, Le Wu*, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 50-59, 2022
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A Review-aware Graph Contrastive Learning Framework for Recommendation
Jie Shuai, Kun Zhang, Le Wu*, Peijie Sun, Richang Hong, Meng Wang, Yong Li
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 1283–1293, 2022
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Which companies are likely to invest: knowledge-graph-based recommendation for investment promotion
Chenyang Bu*, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu
2022 IEEE International Conference on Data Mining (ICDM), 11-20, 2022
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Knowledge-sensed cognitive diagnosis for intelligent education platforms
Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang*, Xuemin Zhao
The 31st ACM international conference on information & knowledge management(CIKM), 1451-1460, 2022
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Multi-relational cognitive diagnosis for intelligent education
Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu*, Jing Liu, Xin Li
Artificial Intelligence: Second CAAI International Conference(CAAI), 425-437, 2022
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Incremental cognitive diagnosis for intelligent education
Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu*, Wei Huang, Enhong Chen, Dan Zhang
The 28th ACM SIGKDD conference on knowledge discovery and data mining(KDD), 1760-1770, 2022
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Forest-based deep recommender
Chao Feng, Defu Lian*, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 523-532, 2022
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ProFairRec: Provider fairness-aware news recommendation
Tao Qi, Fangzhao Wu*, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie.
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 1164-1173, 2022
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Anisotropic additive quantization for fast inner product search
Jin Zhang, Qi Liu, Defu Lian*, Zheng Liu, Le Wu, Enhong Chen
The AAAI conference on Artificial Intelligence(AAAI), 36(4):4354-4362, 2022
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Multi-level recommendation reasoning over knowledge graphs with reinforcement learning
Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu*, Xing Xie
The ACM Web Conference 2022(WWW), 2098-2108, 2022
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Self-supervised cross domain social recommendation
Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong
The 8th international conference on computing and artificial intelligence(ICCAI), 286-292, 2022
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2021
Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization
Yonghui Yang, Le Wu*, Richang Hong, Kun Zhang, Meng Wang
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 71-80, 2021
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Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation
Lei Chen, Le Wu*, Kun Zhang, Richang Hong, Meng Wang
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 585-594, 2021
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Privileged Graph Distillation for Cold Start Recommendation
Shuai Wang, Kun Zhang*, Le Wu, Haiping Ma, Richang Hong, Meng Wang
The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 1187-1196, 2021
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Learning Fair Representations for Recommendation: A Graph based Perspective
Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang
The Web Conference(WWW), 2198–2208, 2021
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Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching
Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan
The 34th AAAI Conference on Artificial Intelligence(AAAI), 14411-14419, 2021
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Stock trend prediction with multi-granularity data: A contrastive learning approach with adaptive fusion
Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu
The 30th ACM International Conference on Information & Knowledge Management(CIKM), 700-709, 2021
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Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior
Dan Lu, Le Wu, Rui Chen*, Qilong Han, Yichen Wang, Yong Ge
Asia-Pacific Web and Web-Age Information Management Joint International Conference on Web and Big Data(APWeb-WAIM),384-398, 2021.
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Meta-learned ID Embeddings for Online Inductive Recommendation
Jingyu Peng, Le Wu*, Peijie Sun, and Meng Wang
Information Retrieval: 27th China Conference(CCIR),32-44, 2021
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2020
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 679-688, 2020
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Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation
Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 1211-1220, 2020
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Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation
Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang
The Web Conference(WWW), 837-847, 2020
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Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen, Le Wu*, Richang Hong, Kun Zhang, Meng Wang
The 34th AAAI Conference on Artificial Intelligence(AAAI), 27-34, 2020
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Fine-grained similarity measurement between educational videos and exercises
Xin Wang, Wei Huang, Qi Liu*, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang
The 28th ACM International Conference on Multimedia(MM), 331-339, 2020
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A text-guided graph structure for image captioning
Depeng Wang, Zhenzhen Hu*, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong
2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-6, 2020
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Graph convolutional networks with markov random field reasoning for social spammer detection
Yongji Wu, Defu Lian*, Yiheng Xu, Le Wu, Enhong Chen
The AAAI conference on artificial intelligence(AAAI), 34(1):1054-1061, 2020
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Resfusion: A residual learning based fusion framework for CTR prediction
Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu*, and Ruiji Fu
Information Retrieval: 26th China Conference(CCIR), 29-41, 2020
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2019
A Neural Influence Diffusion Model for Social Recommendation
Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang
The 42th International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 235-244, 2019
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Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
The 28th International Joint Conference on Artificial Intelligence (IJCAI), 1431-1437, 2019
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Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach
Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W Zheng, Qi Liu
The 28th International Joint Conference on Artificial Intelligence(IJCAI), 4681-4688, 2019
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Automating feature subspace exploration via multi-agent reinforcement learning
Kunpeng Liu, Yanjie Fu*, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li
The 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining(KDD), 207-215, 2019
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Efficient region embedding with multi-view spatial networks: A perspective of locality-constrained spatial autocorrelations
Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li
The AAAI Conference on Artificial Intelligence(AAAI), 33 (1):906-913, 2019
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Drr-net: Dynamic re-read network for sentence semantic matching
Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen*, Fangzhao Wu, Xing Xie
The AAAI Conference on Artificial Intelligence(AAAI), 33 (1):7442-7449, 2019
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Context-aware dual-attention network for natural language inference
Kun Zhang, Guangyi Lv, Enhong Chen*, Le Wu, Qi Liu, C. L. Philip Chen
Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia Conference(PAKDD), 185-198, 2019
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2018
Attentive Recurrent Social Recommendation
Peijie Sun, Le Wu*, Meng Wang
The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR), 185-194, 2018
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A reinforcement learning framework for explainable recommendation
Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018 IEEE international conference on data mining (ICDM), 587-596, 2018
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Image-enhanced multi-level sentence representation net for natural language inference
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, Han Wu, Fangzhao Wu
2018 IEEE International Conference on Data Mining (ICDM), 747-756, 2018
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Multiple pairwise ranking with implicit feedback
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu*, Enhong Chen
The 27th ACM International Conference on Information and Knowledge Management(CIKM), 1727-1730, 2018
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Contextual Attention Model for Social Recommendation
Hongfeng Bao, Le Wu*, Peijie Sun
19th Pacific-Rim Conference on Multimedia(PCM), 630-641, 2018
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MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering
Wenjuan Yang*, Le Wu, Xueliang Liu, Chunxiao Fan
Internet Multimedia Computing and Service: 9th International Conference(ICIMCS), 360-370, 2018
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Zero-Shot Learning: An Energy Based Approach
Tianxiang Zhao, Guiquan Liu*, Le wu, Chao Ma, Enhong Chen
2018 IEEE International Conference on Data Mining (ICDM), 797-806, 2018
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2017
Tracking knowledge proficiency of students with educational priors
Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen*, Runze Wu, Yu Su, Guoping Hu
The 2017 ACM on Conference on Information and Knowledge Management(CIKM), 989-998, 2017
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Tracking the dynamics in crowdfunding
Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen*, Huayu Li, Le Wu
The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining(KDD), 625-634, 2017
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Incremental Matrix Factorization: A Linear Feature Transformation Perspective
Xunpeng Huang, Le Wu, Enhong Chen*, Hengshu Zhu, Qi Liu, Yijun Wang
The 26th International Joint Conference on Artificial Intelligence(IJCAI), 1901-1908, 2017
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2016
Selecting valuable customers for merchants in e-commerce platforms
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen*, Qi Liu
2016 IEEE 16th International Conference on Data Mining (ICDM), 1281-1286, 2016
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Personal credit profiling via latent user behavior dimensions on social media
Guangming Guo, Feida Zhu, Enhong Chen*, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu
The 20th Pacific-Asia Conference(PAKDD),130-142, 2016
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Modeling users’ preferences and social links in social networking services: a joint-evolving perspective
Le Wu, Yong Ge, Qi Liu, Enhong Chen*, Bai Long, Zhenya Huang
the AAAI Conference on Artificial Intelligence(AAAI), 30(1):279-286, 2016
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期刊文章
2024
Average User-side Counterfactual Fairness for Collaborative Filtering
Pengyang Shao, Le Wu*, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang*
ACM Transactions on Information Systems(ACM TOIS), accepted, 2024
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FDKT: Towards an interpretable deep knowledge tracing via fuzzy reasoning
Fei Liu, Chengyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu
ACM Transactions on Information Systems(ACM TOIS), early access, 2024
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Label-aware debiased causal reasoning for Natural Language Inference
Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang
AI Open, 5:70-78, 2024
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Dual Graph Neural Networks for Dynamic Users’ Behavior Prediction on Social Networking Services
Junwei Li , Le Wu , Yulu Du , Richang Hong , and Weisheng Li*
IEEE Transactions on Computational Social Systems(TCSS), 1-12, 2024
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Understanding and improving fairness in cognitive diagnosis
Zheng Zhang, Le Wu, Qi Liu*, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
Science China Information Sciences(SCIS), 67 (5):152106, 2024
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Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation
Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang
IEEE Transactions on Big Data(TBD), 1-12, 2024
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Global and local neural cognitive modeling for student performance prediction
Yu Su , Shuanghong Shen*, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang
Expert Systems with Applications(ESWA), 237:121637, 2024
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Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
Miaomiao Cai, Min Hou, Lei Chen, Le Wu*, Haoyue Bai, Yong Li, Meng Wang*
ACM Transactions on Intelligent Systems and Technology(ACM TIST), 2024
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2023
Hyperbolic Graph Learning for Social Recommendation
Yonghui Yang, Le Wu*, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), accepted, 2023
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Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering
Peijie Sun, Le Wu*, Kun Zhang, Xiangzhi Chen, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), accepted, 2023
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A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation
Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 35(5): 4425-4445, 2023
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Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry
Ming He, Yan Chen, Hong-Ke Zhao, Qi Liu, Le Wu, Yu Cui, Gui-Hua Zeng*, Gui-Quan Liu
Journal of Computer Science and Technology(JCST), 38(6):1272-1287, 2023
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Description-enhanced label embedding contrastive learning for text classification
Kun Zhang, Le Wu*, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
IEEE transactions on neural networks and learning systems(IEEE TNNLS), 1-14, 2023
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MEGCF: Multimodal entity graph collaborative filtering for personalized recommendation
Kang Liu, Feng Xue*, Dan Guo, Le Wu, Shujie Li, Richang Hong
ACM Transactions on Information Systems(ACM TOIS), 41(2):1-27, 2023
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Graph-augmented co-attention model for socio-sequential recommendation
Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye*
IEEE Transactions on Systems, Man, and Cybernetics: Systems(IEEE TSMC: Systems), 53(7):4039-4051, 2023
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Information retrieval meets large language models: a strategic report from chinese ir community
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen*, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, et. al.
AI Open, 4:80-90, 2023
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2022
FairCF: Fairness-aware Collaborative Filtering
Pengyang Shao, Le Wu*, Lei Chen, Kun Zhang, Meng Wang
SCIENCE CHINA Information Sciences(SCIS), 65(12): 222102, 2022
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DiffNet++: A Neural Influence and Interest Diffusion Model for Social Recommendation
Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 34(10):4753-4766, 2022
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Graph-based cognitive diagnosis for intelligent tutoring systems
Yu Su, Zeyu Cheng*, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie
Knowledge-Based Systems(KBS), 253:109547, 2022
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2021
Deep Attributed Network Embedding by Preserving Structure and Attribute Information
Richang Hong, Yuan He, Le Wu*, Yong Ge, Xindong Wu
IEEE Transactions on Systems Man and Cybernetics: Systems(IEEE TSMC: Systems), 51(3):1434-1445, 2021
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Collaborative Neural Social Recommendation
Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang
IEEE Transactions on Systems Man and Cybernetics: Systems(IEEE TSMC: Systems), 51(1):464-476, 2021
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An Unsupervised Aspect-aware Recommendation Model with Explanation Text Generation
Peijie Sun, Le Wu*, Kun Zhang, Yu Su, Meng Wang
ACM Transactions on Information Systems(ACM TOIS), 40(3):1-29, 2021
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Color enhanced cross correlation net for image sentiment analysis
Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen*
IEEE Transactions on Multimedia(IEEE TMM), 26: 4097-4109, 2021
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Predicting personalized grouping and consumption: A collaborative evolution model
Lu Yang, Yezheng Liu, Yuanchun Jiang, Le Wu*, Jianshan Sun
Knowledge-Based Systems(KBS) 228:107248, 2021
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Automated feature selection: A reinforcement learning perspective
Kunpeng Liu, Yanjie Fu*, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 35(3):2272-2284, 2021
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Ladra-net: Locally aware dynamic reread attention net for sentence semantic matching
Kun Zhang*, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), 34(2):853-866, 2021
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Random walk based distributed representation learning and prediction on social networking services
Junwei Li, Le Wu*, Richang Hong, Jinkui Hou*
Information Sciences(ISCI), 549:328-346, 2021
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2020
A Joint Neural Model for User Behavior Prediction on Social Networking Platforms
Junwei Li, Le Wu*, Richang Hong, Kun Zhang, Yong Ge, Yan Li
ACM Transactions on Intelligent Systems and Technology(ACM TIST), 11(6):1-25, 2020
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A Hierarchical Attention Model for Social Contextual Image Recommendation
Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 32(10):1854-1867, 2020
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Leveraging proficiency and preference for online Karaoke recommendation
Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen*, Haiping Ma
Frontiers of Computer Science(FCS), 14:273-290, 2020
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Learning or forgetting? A dynamic approach for tracking the knowledge proficiency of students
Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen*, Haiping Ma, Guoping Hu
ACM Transactions on Information Systems(ACM TOIS), 38(2):1-33, 2020
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2019
Quality-aware Unpaired Image-to-image Translation
Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang
IEEE Transactions on Multimedia(IEEE TMM), 21(10):2664-2674, 2019
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Learning from visual content and style: an image-enhanced recommendation model
Suchang Luo, Lei Chen, Le Wu*
CCF Transactions on Pervasive Computing and Interaction(CCFTPCI), 1(4):275-284, 2019
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Understanding the Users and Videos by Mining a Novel Danmu Dataset
Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen*, Tong Xu, Qi Liu, Weidong He
IEEE Transactions on Big Data(TBD), 8(2):535-551, 2019
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Multilevel image-enhanced sentence representation net for natural language inference
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen*, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
IEEE Transactions on Systems, Man, and Cybernetics: Systems(IEEE TSMC: Systems), 51(6):3781-3795, 2019
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ILGNet: Inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation
Xin Jin, Le Wu, Xiaodong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge*, GengZhao, Shuying Li
IET computer vision(IET COMPUT VIS), 13(2):206-212, 2019
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2018
Product Adoption Rate Prediction in a Competitive Market
Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 30(2):325-338, 2018
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Illuminating recommendation by understanding the explicit item relations
Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen*
Journal of Computer Science and Technology(JCST), 33:739-755, 2018
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2017
Modeling the evolution of users’ preferences and social links in social networking services
Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang
IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), 29(6):1240 – 1253, 2017
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2016
From footprint to evidence: An exploratory study of mining social data for credit scoring
Guangming Guo, Feida Zhu, Enhong Chen*, Qi Liu, Le Wu, Chu Guan
ACM Transactions on the Web (TWEB), 10(4):1-38, 2016
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Relevance meets coverage: A unified framework to generate diversified recommendations
Le Wu, Qi Liu*, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3):1-30, 2016
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